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ORCIDRihan Hai 0001
Person information
- affiliation: TU Delft, The Netherlands
- affiliation (PhD): RWTH Aachen University, Germany
- affiliation: TU Dresden, Germany
Other persons with the same name
- Rihan Hai 0002 — Inner Mongolia University of Technology, School of Energy and Power Engineering, Hohhot, China
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2020 – today
- 2024
[j5]Ziyu Li
, Wenbo Sun, Danning Zhan, Yan Kang, Lydia Yiyu Chen, Alessandro Bozzon, Rihan Hai:
Amalur: The Convergence of Data Integration and Machine Learning. IEEE Trans. Knowl. Data Eng. 36(12): 7353-7367 (2024)- [c30]Andra Ionescu, Zeger Mouw, Efthimia Aivaloglou, Rihan Hai, Asterios Katsifodimos:
Human-in-the-Loop Feature Discovery for Tabular Data. CIKM 2024: 5215-5219 - [c29]Ziyu Li, Wenjie Zhao, Asterios Katsifodimos, Rihan Hai:
LLM-PQA: LLM-enhanced Prediction Query Answering. CIKM 2024: 5239-5243 - [c28]Aditya Shankar, Hans Brouwer, Rihan Hai, Lydia Y. Chen:
S i 1 o F use: Cross-silo Synthetic Data Generation with Latent Tabular Diffusion Models. ICDE 2024: 110-123 - [c27]Danning Zhan, Rihan Hai:
Will Sharing Metadata Leak Privacy? ICDEW 2024: 317-323 - [c26]Ziyu Li, Hilco van der Wilk, Danning Zhan, Megha Khosla, Alessandro Bozzon, Rihan Hai:
Model Selection with Model Zoo via Graph Learning. ICDE 2024: 1296-1309 - [c25]Andra Ionescu, Kiril Vasilev, Florena Buse, Rihan Hai, Asterios Katsifodimos:
AutoFeat: Transitive Feature Discovery over Join Paths. ICDE 2024: 1861-1873 - [c24]Rihan Hai, Shih-Han Hung, Sebastian Feld:
Quantum Data Management: From Theory to Opportunities. ICDE 2024: 5376-5381 - [c23]Wenbo Sun, Rihan Hai:
Cross-Source ML Model Training. ICDE 2024: 5665-5666 - [c22]Rihan Hai, Christos Koutras, Christoph Quix, Matthias Jarke:
Data Lakes: A Survey of Functions and Systems (Extended abstract). ICDE 2024: 5679-5680 - [c21]Tim Littau, Ziyu Li, Rihan Hai:
Quantum Data Structures for Enhanced Database Performance. VLDB Workshops 2024 - [i12]Rihan Hai, Shih-Han Hung, Sebastian Feld:
Quantum Data Management: From Theory to Opportunities. CoRR abs/2403.02856 (2024) - [i11]Aditya Shankar, Hans Brouwer, Rihan Hai, Lydia Y. Chen:
SiloFuse: Cross-silo Synthetic Data Generation with Latent Tabular Diffusion Models. CoRR abs/2404.03299 (2024) - [i10]Ziyu Li, Hilco van der Wilk, Danning Zhan, Megha Khosla, Alessandro Bozzon, Rihan Hai:
Model Selection with Model Zoo via Graph Learning. CoRR abs/2404.03988 (2024) - [i9]Aditya Shankar, Lydia Y. Chen, Jérémie Decouchant, Dimitra Gkorou, Rihan Hai:
Share Your Secrets for Privacy! Confidential Forecasting with Vertical Federated Learning. CoRR abs/2405.20761 (2024) - [i8]Wenbo Sun, Jiaqi Wang, Qiming Guo, Ziyu Li, Wenlu Wang, Rihan Hai:
CEBench: A Benchmarking Toolkit for the Cost-Effectiveness of LLM Pipelines. CoRR abs/2407.12797 (2024) - [i7]Ziyu Li, Wenjie Zhao, Asterios Katsifodimos, Rihan Hai:
LLM-PQA: LLM-enhanced Prediction Query Answering. CoRR abs/2409.01140 (2024) - [i6]Rihan Hai, Shih-Han Hung, Tim Coopmans, Floris Geerts:
Data Management in the Noisy Intermediate-Scale Quantum Era. CoRR abs/2409.14111 (2024) - 2023
- [j4]Ziyu Li, Henk Kant, Rihan Hai, Asterios Katsifodimos, Marco Brambilla, Alessandro Bozzon:
Metadata Representations for Queryable Repositories of Machine Learning Models. IEEE Access 11: 125616-125630 (2023) - [j3]Rihan Hai, Christos Koutras, Christoph Quix, Matthias Jarke:
Data Lakes: A Survey of Functions and Systems. IEEE Trans. Knowl. Data Eng. 35(12): 12571-12590 (2023) - [c20]Andra Ionescu, Alexandra Alexandridou, Leonidas Ikonomou, Kyriakos Psarakis, Kostas Patroumpas, Georgios Chatzigeorgakidis, Dimitrios Skoutas, Spiros Athanasiou, Rihan Hai, Asterios Katsifodimos:
Topio Marketplace: Search and Discovery of Geospatial Data. EDBT 2023: 819-822 - [c19]Ziyu Li, Mariette Schönfeld, Rihan Hai, Alessandro Bozzon, Asterios Katsifodimos:
Optimizing Machine Learning Inference Queries for Multiple Objectives. ICDEW 2023: 74-78 - [c18]Wenbo Sun, Asterios Katsifodimos, Rihan Hai:
An Empirical Performance Comparison between Matrix Multiplication Join and Hash Join on GPUs. ICDEW 2023: 184-190 - [c17]Rihan Hai, Christos Koutras, Andra Ionescu, Ziyu Li, Wenbo Sun, Jessie van Schijndel, Yan Kang, Asterios Katsifodimos:
Amalur: Data Integration Meets Machine Learning. ICDE 2023: 3729-3739 - [c16]Ziyu Li, Mariette Schönfeld, Wenbo Sun, Marios Fragkoulis, Rihan Hai, Alessandro Bozzon, Asterios Katsifodimos:
Optimizing ML Inference Queries Under Constraints. ICWE 2023: 51-66 - [c15]Ziyu Li, Henk Kant, Rihan Hai, Asterios Katsifodimos, Alessandro Bozzon:
Macaroni: Crawling and Enriching Metadata from Public Model Zoos. ICWE 2023: 376-380 - [c14]Wenbo Sun, Asterios Katsifodimos, Rihan Hai:
Accelerating Machine Learning Queries with Linear Algebra Query Processing. SSDBM 2023: 13:1-13:12 - [i5]Wenbo Sun, Asterios Katsifodimos, Rihan Hai:
Accelerating Machine Learning Queries with Linear Algebra Query Processing. CoRR abs/2306.08367 (2023) - 2022
- [c13]Rihan Hai, Christos Koutras, Andra Ionescu, Asterios Katsifodimos:
Amalur: Next-generation Data Integration in Data Lakes. CIDR 2022 - [c12]Andra Ionescu, Rihan Hai, Marios Fragkoulis, Asterios Katsifodimos:
Join Path-Based Data Augmentation for Decision Trees. ICDE Workshops 2022: 84-88 - [i4]Rihan Hai, Yan Kang, Christos Koutras, Andra Ionescu, Asterios Katsifodimos:
Bridging the Gap between Data Integration and ML Systems. CoRR abs/2205.09681 (2022) - [i3]Christos Koutras, Rihan Hai, Kyriakos Psarakis, Marios Fragkoulis, Asterios Katsifodimos:
SiMa: Effective and Efficient Data Silo Federation Using Graph Neural Networks. CoRR abs/2206.12733 (2022) - [i2]Ziyu Li, Rihan Hai, Alessandro Bozzon, Asterios Katsifodimos:
Metadata Representations for Queryable ML Model Zoos. CoRR abs/2207.09315 (2022) - 2021
- [i1]Rihan Hai, Christoph Quix, Matthias Jarke:
Data lake concept and systems: a survey. CoRR abs/2106.09592 (2021) - 2020
- [b1]Rihan Hai:
Data integration and metadata management in data lakes. RWTH Aachen University, Germany, 2020
2010 – 2019
- 2019
- [j2]Rihan Hai, Christoph Quix:
Rewriting of Plain SO Tgds into Nested Tgds. Proc. VLDB Endow. 12(11): 1526-1538 (2019) - [c11]Vasileios Theodorou, Rihan Hai, Christoph Quix:
A Metadata Framework for Data Lagoons. ADBIS (Short Papers and Workshops) 2019: 452-462 - [c10]Rihan Hai, Christoph Quix, Dan Wang:
Relaxed Functional Dependency Discovery in Heterogeneous Data Lakes. ER 2019: 225-239 - [c9]Jan Pennekamp, René Glebke, Martin Henze, Tobias Meisen, Christoph Quix, Rihan Hai, Lars Christoph Gleim, Philipp Niemietz, Maximilian Rudack, Simon Knape, Alexander Epple, Daniel Trauth, Uwe Vroomen, Thomas Bergs, Christian Brecher, Andreas Bührig-Polaczek, Matthias Jarke, Klaus Wehrle:
Towards an Infrastructure Enabling the Internet of Production. ICPS 2019: 31-37 - [r1]Christoph Quix, Rihan Hai:
Data Lake. Encyclopedia of Big Data Technologies 2019 - 2018
- [c8]Rihan Hai, Christoph Quix, Chen Zhou:
Query Rewriting for Heterogeneous Data Lakes. ADBIS 2018: 35-49 - [c7]Rihan Hai, Christoph Quix, David Kensche:
Nested Schema Mappings for Integrating JSON. ER 2018: 397-405 - 2017
- [c6]Sandra Geisler, Christoph Quix, Rihan Hai, Sanchit Alekh:
An Integrated Ontology-Based Approach for Patent Classification in Medical Engineering. DILS 2017: 38-52 - [c5]Christoph Quix, Sandra Geisler, Rihan Hai, Sanchit Alekh:
Ontology matching for patent classification. OM@ISWC 2017: 37-48 - 2016
- [j1]Christoph Quix, Rihan Hai, Ivan Vatov:
Metadata Extraction and Management in Data LakesWith GEMMS. Complex Syst. Informatics Model. Q. 9: 67-83 (2016) - [c4]Christoph Quix, Rihan Hai, Ivan Vatov:
GEMMS: A Generic and Extensible Metadata Management System for Data Lakes. CAiSE Forum 2016: 129-136 - [c3]Rihan Hai, Sandra Geisler, Christoph Quix:
Constance: An Intelligent Data Lake System. SIGMOD Conference 2016: 2097-2100 - 2015
- [c2]Rihan Hai, Vasileios Theodorou, Maik Thiele, Wolfgang Lehner:
SCIT: A Schema Change Interpretation Tool for Dynamic-Schema Data Warehouses. ADC 2015: 323-327 - [c1]Sandra Geisler, Rihan Hai, Christoph Quix:
An Ontology-based Collaboration Recommender System using Patents. KEOD 2015: 389-394
Coauthor Index
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last updated on 2024-12-23 19:33 CET by the dblp team
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